What Readers Want to Experience: An Approach to Quantify Conversational Maxims with Preferences for Reading Behaviour

URN to cite this document:: urn:nbn:de:bvb:355-epub-299115
DOI to cite this document:: 10.5283/epub.29911

Knäusl, Hanna ; Ludwig, Bernd

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Date of publication of this fulltext: 08 May 2014 08:38

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Item type:	Conference or workshop item (Speech)
Page Range:	pp. 478-481
Date:	6 March 2013
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Informationswissenschaft (Prof. Dr. Udo Kruschwitz)
Keywords:	Eyetracking, Preference Elicitation, Conversational Maxims,Information Search, Reading Behaviour
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	29911

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Abstract

Searching information on web pages is a tedious task for users as web servers provide complete web pages and do not tailor their content to the user's current information need. This leaves an enormous amount of workload for the user and influences his emotional attitude towards the whole task even if a search engine has filtered pages that are relevant to a user query. In this paper, we propose ...

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